What follows is an incomplete list of publications citing sba. If you would like your own work to be added to this list, please email .

By third authors

  1. M. Byrod and K. Astrom, “Bundle Adjustment using Conjugate Gradients with Multiscale Preconditioning”, British Machine Vision Conference, BMVC09, London, September 7-10, 2009.
  2. B. Zeisl, P. Georgel, F. Schweiger, E. Steinbach andN. Navab, “Estimation of Location Uncertainty for Scale Invariant Feature Points”, British Machine Vision Conference, BMVC09, London, September 7-10, 2009.
  3. B. Siciliano and O. Khatib, “Springer Handbook of Robotics”, 1st ed., Springer 2008, ISBN 978-3540239574., June 2008.
  4. N. Snavely, S.M. Seitz and R. Szeliski, “Modeling the World From Internet Photo Collections”, International Journal of Computer Vision., vol. 80, issue 2, pp. 189-210, November 2008.
  5. X. Li, C. Wu, C. Zach, S. Lazebnik and J.-M. Frahm, “Modeling and Recognition of Landmark Image Collections Using Iconic Scene Graphs”, In Proceedings of the 10th European Conference on Computer Vision, ECCV08, Marseilles, part I, pp. 427-440, Oct. 2008.
  6. M. Farenzena, A. Bartoli and Y. Mezouar, “Efficient Camera Smoothing in Sequential Structure-from-Motion Using Approximate Cross-Validation”, In Proceedings of the 10th European Conference on Computer Vision, ECCV08, Marseilles, part III, pp. 196-209, Oct. 2008.
  7. Y. Furukawa and J. Ponce, “Accurate Camera Calibration from Multi-View Stereo and Bundle Adjustment”, in Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, CVPR08, pp.1-8, June 2008.
  8. N. Snavely, S.M. Seitz and R. Szeliski, “Skeletal Graphs for Efficient Structure From Motion”, in Proceedings of the IEEE Computer Vision and Pattern Recognition Conference, CVPR08, pp.1-8, June 2008.
  9. M. Farenzena, A. Bartoli and Y. Mezouar, “Automatically Smoothing Camera Pose Using Cross Validation”, in Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, IROS08, pp.3616-3621, September 2008.
  10. J.-S. Kim, M. Hwangbo and T. Kanade, “Motion Estimation using Multiple Non-Overlapping Cameras for Small Unmanned Aerial Vehicles”, in Proceedings of the IEEE International Conference on Robotics and Automation, ICRA08, Pasadena, May 19-23, 2008.
  11. X. Zabulis, N. Grammalidis and G.D. Floros, “An Efficient and Memory-Conserving Implementation of Multi-View Stereo for Wide-Area Reconstruction”, International Symposium on 3D Data Processing, Visualization and Transmission, 3DPVT08, Atlanta, June 2008.
  12. K. Mierle and W.J. Maclean, “Evaluating Multiview Reconstruction”, International Conference on Computer Vision Systems, ICVS08, Santorini, pp. 228-237, May 2008.
  13. X. Zabulis, N. Grammalidis, Y. Bastanlar, E. Yilmaz and Y.Y. Cetin, “3D Scene Reconstruction Based on Robust Camera Motion Estimation and Space Sweeping For a Cultural Heritage Virtual Tour System”, In Proceedings of the 2nd International 3D TV Conference, 3DTV-CON08, Istanbul, pp. 53-56, May 2008.
  14. H. Trinh D.A and McAllester, “Particle-Based Belief Propagation for Structure from Motion and Dense Stereo Vision with Unknown Camera Constraints”, In Proceedings of the 2nd International Robot Vision Workshop, RobVis08, Auckland, pp. 16-28, February 2008.
  15. T. Templeton, D.H. Shim, C. Geyer and S.S. Sastry, “Autonomous Vision-based Landing and Terrain Mapping Using an MPC-controlled Unmanned Rotorcraft”, in Proceedings of the IEEE International Conference on Robotics and Automation, ICRA07, Rome, pp. 1349-1356, April 2007.
  16. W. Foerstner and R. Steffen, “Online Geocoding and Evaluation of Large Scale Imagery Without GPS”, in Photogrammetric Week, Heidelberg, (D. Fritsch ed.), Wichmann Verlag, 2007.
  17. T.E. Choe and G. Medioni, “3-D Metric Reconstruction and Registration of Images of Near-planar Surfaces”, in Proceedings of the IEEE International Conference on Computer Vision, ICCV07, Rio de Janeiro, Brazil, October 2007.
  18. C. Zach and H. Bischof, “Towards Wiki-based Dense City Modeling”, in Proceedings of the IEEE International Conference on Computer Vision, ICCV07, Rio de Janeiro, Brazil, October 2007.
  19. D.G. Aliaga, J. Zhang and M. Boutin, “Simplifying the Reconstruction of 3D Models using Parameter Elimination”, in Proceedings of the IEEE International Conference on Computer Vision, ICCV07, Rio de Janeiro, Brazil, October 2007.
  20. A. Saxena, M. Sun and A.Y. Ng, “3-D Reconstruction from Sparse Views using Monocular Vision”, in Proceedings of the IEEE International Conference on Computer Vision, ICCV07, Rio de Janeiro, Brazil, October 2007.
  21. L. Wang, S. You and U. Neumann, “Semiautomatic Registration Between Ground-Level Panoramas And an Orthorectified Aerial Image for Building Modeling”, in Proceedings of the VRML07 (Virtual Representations and Modeling of Large-scale environments) workshop, held in conjunction with the 2007 International Conference on Computer Vision, ICCV07, Rio de Janeiro, Brazil, October 2007.
  22. J, Yao and W.K. Cham , “Robust Multi-View Feature Matching From Multiple Unordered Views”, Pattern Recognition, vol. 40, issue 11, pp. 3081-3099, November 2007.
  23. R. Ewerth, M. Schwalb and B. Freisleben, “Using Depth Features to Retrieve Monocular Video Shots”, In Proceedings of the ACM International Conference on Image and Video Retrieval CIVR07, pp. 210-217, July 2007.
  24. C. Geyer and H. Stewenius, “A Nine-point Algorithm for Estimating Para-Catadioptric Fundamental Matrices”, In Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition, pp. 1-8, June 2007.
  25. M. Klopschitz and D. Schmalstieg, “Automatic Reconstruction of Wide-Area Fiducial Marker Models”, In Proceedings of International Symposium on Mixed and Augmented Reality, ISMAR07, 2007.
  26. S. Beriault, P. Payeur and G. Comeau, “Flexible Multi-Camera Network Calibration for Human Gesture Monitoring”, In Proceedings of Robotic and Sensors Environments, ROSE07, pp. 1-6, 2007.
  27. G. Le Besnerais, M. Sanfourche and F. Champagnat, “Dense Height Map Estimation From Oblique Aerial Image Sequences”, Computer Vision and Image Understanding., 2007.
  28. A. Auclair, L.D. Cohen and N. Vincent, “A Robust Approach for 3D Cars Reconstruction”, In Proceedings of Scandinavian Concference on Image Analysis, SCIA07, pp. 183-192, 2007.
  29. L. Zhang, B. Li and Y. Jia, “A Practical Calibration Method for Multiple Cameras”, In Proceedings of 4th International Conference on Image and Graphics, ICIG07, pp. 45-50, 2007.
  30. M. Jazwinski and B. Putz, “The Use of Nonlinear Optimisation Algorithms in Multiple View Geometry”, Recent Advances in Mechatronics, pp. 268-272, Springer, 2007.
  31. N. Snavely, S.M. Seitz and R. Szeliski, “Photo Tourism: Exploring Photo Collections In 3D”, ACM Transactions on Graphics. 25(3), pp. 835-846, 2006.
  32. J. Zhang, D.G. Aliaga, M. Boutin and R. Insley, “Angle Independent Bundle Adjustment Refinement”, In Proceedings of the International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT06 pp. 1108-1116, June 2006.
  33. D. Martinec and T. Pajdla, “3D Reconstruction by Gluing Pair-Wise Euclidean Reconstructions, or "How to Achieve a Good Reconstruction from Bad Images"”, In Proceedings of the International Symposium on 3D Data Processing, Visualization, and Transmission, 3DPVT06 pp. 25-32, June 2006.
  34. Z. Zhu and A.R. Hanson, “Mosaic-based 3D Scene Representation and Rendering”, Signal Processing: Image Communication. vol. 21, issue 9 (Special Issue on Interactive representation of still and dynamic scenes), pp. 739-754, 2006.
  35. G. Bianchi, C. Jung, B. Knoerlein, G. Szekely and M. Harders, “High-Fidelity Visuo-Haptic Interaction With Virtual Objects in Multi-modal AR Systems”, In Proceedings of International Symposium on Mixed and Augmented Reality, ISMAR06, pp. 187-196, October 2006.
  36. R. Clark, M. Lin and C.J. Taylor, “3D Environment Capture from Monocular Video and Inertial Data”, Three-Dimensional Image Capture and Applications VI, in Proceedings of SPIE and IS&T Electronic Imaging, January 2006.
  37. M. Boutin, J. Zhang and D. Aliaga, “Improving the Numerical Stability Of Structure From Motion by Algebraic Elimination”, Computational Imaging IV In Proceedings of SPIE and IS&T Electronic Imaging, January 2006.
  38. L. Xin, Q. Wang, J. Tao, X. Tang, T. Tan and H. Shum, “Automatic 3D Face Modeling from Video”, in Proceedings of the IEEE International Conference on Computer Vision, ICCV05, 2005.
  39. N. Suenderhauf, K. Konolige, S. Lacroix and P. Protzel, “Visual Odometry Using Sparse Bundle Adjustment on an Autonomous Outdoor Vehicle”, In Levi, Schanz, Lafrenz, Avrutin (Hrsg.), Tagungsband Autonome Mobile Systeme 2005, Reihe Informatik aktuell, Springer Verlag, pp. 157-163, 2005.
  40. D. Farin and P.H.N. de With, “Estimating Physical Camera Parameters based on Multi-Sprite Motion Estimation”, In Proceedings of SPIE Image and Video Communications and Processing, vol. 5685, pp. 489-500, January 2005.
  41. N. Suenderhauf, K. Konolige, T. Lemaire and S. Lacroix, “Comparison of Stereovision Odometry Approaches”, in Proceedings of Planetary Rover Workshop, IEEE International Conference on Robotics and Automation, ICRA05, April 2005.

By sba's author

  1. D. Michel, A.A. Argyros and M.I.A. Lourakis, “Horizon Matching for Localizing Unordered Panoramic Images”, Computer Vision and Image Understanding, to appear.
  2. M.I.A. Lourakis and A.A. Argyros, “SBA: A Software Package for Generic Sparse Bundle Adjustment”, ACM Transactions on Mathematical Software, vol. 36, no. 1, pp. 1-30 (Mar. 2009).
  3. D. Michel, A.A. Argyros and M.I.A. Lourakis, “Localizing Unordered Panoramic Images Using the Levenshtein Distance”, in Proceedings of the OMNIVIS07 (Omnidirectional Vision, Camera Networks and Non-classical Cameras) workshop, held in conjunction with the 2007 International Conference on Computer Vision, ICCV07, Rio de Janeiro, Brazil, October 2007.
  4. M.I.A. Lourakis and A.A. Argyros, “Exploiting the Sparseness of Bundle Adjustment for Efficient 3D Reconstruction”, in Proceedings of the CIMCV06 (Computation Intensive Methods for Computer Vision) workshop, held in conjunction with the 2006 European Conference on Computer Vision, ECCV06, Graz, Austria, May 2006.
  5. M.I.A. Lourakis and A.A. Argyros, “Is Levenberg-Marquardt the Most Efficient Optimization Algorithm for Implementing Bundle Adjustment?”, IEEE International Conference on Computer Vision, ICCV05, vol. 2, pp. 1526-1531, Beijing, China, Oct. 2005.
  6. M.I.A. Lourakis, A.A. Argyros, “Efficient, Causal Camera Tracking in Unprepared Environments”, Computer Vision and Image Understanding Journal (CVIU), vol. 99, pp. 259-290, 2005.

  7. M.I.A. Lourakis, A.A. Argyros, “The Design and Implementation of a Generic Sparse Bundle Adjustment Software Package Based on the Levenberg-Marquardt Algorithm”, Institute of Computer Science - FORTH, Tech. Rep. FORTH-ICS TR-340-2004, Aug. 2004.